Jaipuria Institute of Management, Lucknow | India

Author Profile 

• Scopus
• Researchgate

Early Academic Pursuits

she, a distinguished academic in the field of Statistics, has a rich history of academic achievements. She completed her Ph.D. in Statistics in 2014 from the Department of Statistics, Banaras Hindu University. Her thesis, titled "A Bayesian Study of Some Etiological Factors Related to Gallbladder Diseases," laid a strong foundation for her future research endeavors. Her early academic pursuits were marked by a keen interest in applying statistical methodologies to real-world health issues, particularly gallbladder diseases, which would become a central theme in her subsequent research.

Professional Endeavors

she currently serves as an Assistant Professor at Jaipuria Institute of Management. Her career is distinguished by various professional roles that demonstrate her expertise and dedication to the field of statistics and research. She has held multiple administrative positions, including Chairperson of the Postgraduate Diploma in Management - Financial Services (PGDM-FS) since June 2022 and Co-Chairperson of the Fellow Program in Management from 2020 to 2022. Dr. Srivastava has also been actively involved in organizing and conducting significant workshops and seminars, such as the AICTE Training and Learning (ATAL) sponsored Faculty Development Programs.

Contributions and Research Focus in Statistics

Her contributions to the field of statistics are extensive and impactful. Her research primarily focuses on Bayesian statistics, an area where she has made significant strides. Some of her notable publications include studies on cryptocurrency investment barriers, demographic statistical models, and Bayesian parameter estimation for gallbladder cancer data. Her work has been published in high-impact journals like Technology in Society, Journal of Reliability and Statistical Studies, and Journal of Statistics Applications & Probability.

Her research highlights include:

• Analysis of barriers to investment and mining in cryptocurrency for traditional and tech-savvy investors.
• Estimating the mean number of children ever born through the distribution of male births in India.
• Bayesian parameter estimation and model selection for gallbladder cancer data.

Accolades and Recognition

Throughout her career, she has been recognized for her exceptional research and contributions to the field of statistics. Her accolades include:

• Publications in top-tier journals (Scopus, SSCI, BMA-Q1).
• Organizing high-profile workshops and faculty development programs with substantial sponsorships.
• Serving as a session chair and presenting papers at international conferences.

These recognitions underscore her status as a leading researcher and educator in her field.

Impact and Influence

Her work has had a profound impact on both the academic and professional communities. Her research on Bayesian techniques and their applications in various domains has influenced how statistical methods are applied in health research, business analytics, and beyond. Her role as a mentor and educator has shaped the careers of many students and researchers, fostering a new generation of statisticians and data scientists.

Legacy and Future Contributions

•   Analysis of barriers to investment and mining in cryptocurrency for traditional and tech-savvy investors: A fuzzy approach
• Comprehending and measuring pandemic induced stress among professionals due to lockdown and work from home
• Bayesian Parameter Estimation and Model Selection for Gallbladder Cancer Data of two Countries
• A Hierarchical Bayes Analysis and Comparison of PH Weibull and PH Exponential Models for One-Shot Device Testing Experiment
• New modified Weibull distribution: Moment properties and Bayes analysis